AIbase
EN
Home
Convnext Tiny 224 Wikiart
C

Convnext Tiny 224 Wikiart

Developed by davanstrien
This model is an image classification model fine-tuned on the huggan/wikiart dataset based on facebook/convnext-tiny-224, primarily used for artwork classification tasks.
Image Classification
Transformers
Open Source License:Apache-2.0#Art Style Classification#ConvNeXt Architecture#Small Model Efficiency
Downloads 16
Release Time : 3/21/2023

Model Overview

This is a vision model based on the ConvNeXt-Tiny architecture, specifically fine-tuned for the WikiArt dataset to classify art styles or categories.

Model Features

Artwork Classification
Optimized specifically for the WikiArt dataset, capable of accurately identifying and classifying styles and categories of different artworks.
Efficient Architecture
Based on the ConvNeXt-Tiny architecture, it maintains high accuracy while requiring low computational resources.
Transfer Learning
Improved performance on small-scale specialized datasets by fine-tuning on large-scale pre-trained models.

Model Capabilities

Image Classification
Artwork Recognition
Visual Feature Extraction

Use Cases

Art Analysis
Automatic Artwork Classification
Automatically identifies and classifies the style and category of uploaded artworks.
Achieved 71.4% accuracy on the WikiArt dataset.
Digital Art Gallery Management
Assists digital art galleries in organizing and categorizing large collections of artworks.
Education
Art Education Assistant Tool
Helps students identify and understand different art styles.
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
EnglishįŽ€äŊ“中文įšéĢ”中文ãĢãģんご
Š 2025AIbase